Full Stack Data Engineer (Python) - Hybrid setup

ACCION LABS PHILIPPINES, INC.; Philippines; On-site; PHP 804,000 - 1,339,000; Part time

Job summary

ACCION LABS PHILIPPINES, INC. is hiring a Data Engineer-Data Integrations on a hybrid setup near UP Ayala Land Technohub, Quezon City. The role offers a 1-year contract with renewal potential and a salary up to ₱120,000.

The candidate will focus on building scalable data pipelines, integrating data across systems, and leveraging Python for data engineering solutions in a cloud-enabled environment.

Qualifications

• At least 4 years of professional experience as a Python Developer with Full Stack development experience.
• Strong experience in Data Engineering, Data Integration, and Data Pipeline development.
• Proficient in Python programming for application and data engineering solutions.
• Experience designing, developing, and maintaining scalable data integration workflows.
• Knowledge of data transformation, data ingestion, and ETL/ELT processes.
• Experience working with relational and non-relational databases.
• Familiarity with API integrations and data exchange between systems.
• Exposure to Snowflake or Informatica is plus but not required.

Skills

Python

Data Engineering

Data Integration

ETL/ELT

APIs

Cloud Platforms

Tools

Snowflake

Informatica

Job description

Job Title: Data Engineer-Data Integrations
Work Set-up & Location: Hybrid Setup – 2-3 Days RTO and 2 Days WFH | UP Ayala Land Technohub, Quezon City
Work Schedule: Mid Shift – 04:00 PM to 01:00 AM
Employment Type: 1-Year Contract – Highly Subject for Renewal
Salary Offer: Up to ₱120,000

KEY EXPERIENCES & QUALIFICATIONS:

• At least 4 years of professional experience as a Python Developer with Full Stack development experience.
• Strong experience in Data Engineering, Data Integration, and Data Pipeline development.
• Proficient in Python programming for application and data engineering solutions.
• Experience designing, developing, and maintaining scalable data integration workflows.
• Knowledge of data transformation, data ingestion, and ETL/ELT processes.
• Experience working with relational and non-relational databases.
• Familiarity with API integrations and data exchange between systems.
• Experience with cloud-based data platforms and modern data architectures is an advantage.
• Exposure to Snowflake or Informatica is plus but not required.